\begin{table}[htbp]\centering
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\caption{MW effects on log average earnings and log employment in restaurants: TWFE estimates for different samples and specifications using CBP data\label{tab:twfecbp}}
\begin{tabular*}{\hsize}{@{\hskip\tabcolsep\extracolsep\fill}l*{6}{c}}
\toprule
            &\multicolumn{3}{c}{1990-2016}                                    &\multicolumn{3}{c}{2000-2016}                                    \\\cmidrule(lr){2-4}\cmidrule(lr){5-7}
            &\multicolumn{1}{c}{(1)}         &\multicolumn{1}{c}{(2)}         &\multicolumn{1}{c}{(3)}         &\multicolumn{1}{c}{(4)}         &\multicolumn{1}{c}{(5)}         &\multicolumn{1}{c}{(6)}         \\
\midrule \\ \multicolumn{7}{l}{\textbf{A. Unweighted}} \\ & & & \\
Log wages   &       0.215\sym{***}&       0.163\sym{***}&       0.156\sym{***}&       0.100\sym{***}&       0.086         &       0.109\sym{*}  \\
            &     (0.037)         &     (0.050)         &     (0.044)         &     (0.029)         &     (0.071)         &     (0.064)         \\
 
 
 
Log employment&      -0.338\sym{***}&      -0.242\sym{*}  &      -0.081         &      -0.077         &      -0.114         &       0.044         \\
            &     (0.089)         &     (0.126)         &     (0.065)         &     (0.063)         &     (0.123)         &     (0.059)         \\
 
 
 
OWE         &      -1.531\sym{***}&      -1.517         &      -0.492         &      -0.723         &      -1.375         &       0.385         \\
            &     (0.371)         &     (0.945)         &     (0.430)         &     (0.611)         &     (2.276)         &     (0.588)         \\
 
\multicolumn{6}{l}{\textbf{B. Weighted by population}} \\ & & & \\
 
Log wages   &       0.192\sym{***}&       0.141\sym{***}&       0.174\sym{***}&       0.120\sym{***}&       0.098\sym{*}  &       0.131\sym{***}\\
            &     (0.021)         &     (0.048)         &     (0.019)         &     (0.020)         &     (0.058)         &     (0.039)         \\
 
 
 
Log employment&      -0.054         &      -0.141\sym{*}  &       0.029         &       0.061         &      -0.057         &       0.079         \\
            &     (0.072)         &     (0.077)         &     (0.090)         &     (0.056)         &     (0.047)         &     (0.060)         \\
 
 
 
OWE         &      -0.340         &      -1.013\sym{*}  &       0.170         &       0.518         &      -0.580         &       0.609         \\
            &     (0.319)         &     (0.536)         &     (0.473)         &     (0.507)         &     (0.461)         &     (0.381)         \\
\midrule
\textbf{N}  &      23,361         &       8,134         &      62,228         &      14,703         &       5,116         &      39,146         \\
            &                     &                     &                     &                     &                     &                     \\
\textbf{Fixed effects}&                     &                     &                     &                     &                     &                     \\
MSCZ pair-year&                     &           Y         &                     &                     &           Y         &                     \\
BC pair-year&                     &                     &           Y         &                     &                     &           Y         \\
            &                     &                     &                     &                     &                     &                     \\
\textbf{Sample}&                     &                     &                     &                     &                     &                     \\
All CZ-state&           Y         &                     &                     &           Y         &                     &                     \\
MSCZ pairs  &                     &           Y         &                     &                     &           Y         &                     \\
Border county pairs&                     &                     &           Y         &                     &                     &           Y         \\
 \hline\hline \end{tabular*} {\centering \caption*{\begin{footnotesize} \textit{Notes:} Estimated using specification described in equation \ref{eq:TWFE_logMW} and County Business Patterns data. Columns (1)-(3) use the years 1990-2016, and (4)-(6) use 2000-2016. Columns (1) and (4) use the sample of all commuting-zones-by-state, and include CZ-state and year fixed effects. Columns (2) and (5) use multi-state commuting-zone-by-state pairs sample and include fixed effects for CZ-state (repeated if a CZ-state is part of multiple pairs) and pair-year fixed effects. Columns (3) and (6) similarly use the sample of border county pairs and include fixed effects for border counties (each time a county is in a pair) and pair-year fixed effects. Outcomes include log weekly earnings, log employment, and own wage elasticity (OWE). OWE is the IV estimate from regressing log employment on log earnings instrumented by log minimum wage. $\dagger$ indicates OWE estimates with a weak first-stage. Estimates in Panel A are unweighted, while estimates in Panel B are weighted using the working-age population. All specifications include log of earnings/log of employment outside the restaurant sector, and working-age population as control variables. Standard errors, reported in parentheses, are clustered at the state level. Stars indicate statistical significance as follows: \\ \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\) \end{footnotesize}}} \end{table} 
